Alldocube iPlay60 mini Turbo
Geekbench AI Score
277
Single Precision Score
279
Half Precision Score
600
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 05:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Alldocube iPlay60 mini Turbo |
| Model ID | Alldocube iPlay60 mini Turbo |
| Motherboard | Alldocube |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.6 IPS |
|
|
Image Classification (Q)
|
100% |
490
91.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
466
7.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
620
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
607
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
1099
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
83% |
463
37.4 IPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (Q)
|
95% |
855
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
377
2.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1029
9.43 IPS |
|
|
Style Transfer (SP)
|
89% |
1098
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1126
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2475
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.9 IPS |
|
|
Text Classification (HP)
|
100% |
150
199.7 IPS |
|
|
Text Classification (Q)
|
88% |
250
337.5 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.57 IPS |
